conftrace_

Xuebo Liu

71 papers · 2018–2026 · 9 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+15 more ↓ 🌍 Conference Polyglot (9) 🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (13) πŸƒ Academic Marathon (7)
🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (7) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (40) 🌱 Topic Pioneer πŸ”¬ Deep Specialist (21) 🧬 Topic Evolution πŸ† Keyword Champion (2) ❓ The Questioner (3) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (69) πŸ—ƒοΈ Keyword Collector (260) ⚑ Prolific Year (15)

Conferences

ACL (28) EMNLP (21) AAAI (4) CVPR (4) IJCNLP (4) COLING (3) ICLR (3) ECCV (2) NIPS (2)

Papers

DeReA: Improving Idiom Translation with Detect-Retrieve-Arbitrate Reasoning ACL 2026 Exposing the Cracks: Vulnerabilities of Retrieval-Augmented LLM-based Machine Translation AAAI 2026 Weight-Aware Activation Sparsity with Constrained Bayesian Optimization Scheduling for Large Language Models EMNLP 2025 Runaway is Ashamed, But Helpful: On the Early-Exit Behavior of Large Language Model-based Agents in Embodied Environments EMNLP 2025 SeaPO: Strategic Error Amplification for Robust Preference Optimization of Large Language Models EMNLP 2025 AgentInit: Initializing LLM-based Multi-Agent Systems via Diversity and Expertise Orchestration for Effective and Efficient Collaboration EMNLP 2025 DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs EMNLP 2025 CDT: A Comprehensive Capability Framework for Large Language Models Across Cognition, Domain, and Task EMNLP 2025 Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering AAAI 2025 DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory ICLR 2025 AgentDropout: Dynamic Agent Elimination for Token-Efficient and High-Performance LLM-Based Multi-Agent Collaboration ACL 2025 SGIC: A Self-Guided Iterative Calibration Framework for RAG ACL 2025 DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization ACL 2025 UnrealLLM: Towards Highly Controllable and Interactable 3D Scene Generation by LLM-powered Procedural Content Generation ACL 2025 APT: Improving Specialist LLM Performance with Weakness Case Acquisition and Iterative Preference Training ACL 2025 Who Wrote This? The Key to Zero-Shot LLM-Generated Text Detection Is GECScore COLING 2025 AQuilt: Weaving Logic and Self-Inspection into Low-Cost, High-Relevance Data Synthesis for Specialist LLMs EMNLP 2025 3AM: An Ambiguity-Aware Multi-Modal Machine Translation Dataset COLING 2024 LRQuant: Learnable and Robust Post-Training Quantization for Large Language Models ACL 2024 TasTe: Teaching Large Language Models to Translate through Self-Reflection ACL 2024 Speech Sense Disambiguation: Tackling Homophone Ambiguity in End-to-End Speech Translation ACL 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Can LLMs Learn Uncertainty on Their Own? Expressing Uncertainty Effectively in A Self-Training Manner EMNLP 2024 Curriculum Consistency Learning for Conditional Sentence Generation EMNLP 2024 Self-Powered LLM Modality Expansion for Large Speech-Text Models EMNLP 2024 CommonIT: Commonality-Aware Instruction Tuning for Large Language Models via Data Partitions EMNLP 2024 Improving Attributed Text Generation of Large Language Models via Preference Learning ACL 2024 DB-LLM: Accurate Dual-Binarization for Efficient LLMs ACL 2024 Domain-Aware k-Nearest-Neighbor Knowledge Distillation for Machine Translation ACL 2024 Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024 Holistic Exploration on Universal Decompositional Semantic Parsing: Architecture, Data Augmentation, and LLM Paradigm ACL 2024 EvalCrafter: Benchmarking and Evaluating Large Video Generation Models CVPR 2024 SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection NIPS 2024 Pluggable Neural Machine Translation Models via Memory-augmented Adapters COLING 2024 LPZero: Language Model Zero-cost Proxy Search from Zero EMNLP 2024 NewTerm: Benchmarking Real-Time New Terms for Large Language Models with Annual Updates NIPS 2024 Revisiting Commonsense Reasoning in Machine Translation: Training, Evaluation and Challenge ACL 2023 Improving Simultaneous Machine Translation with Monolingual Data AAAI 2023 Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization ACL 2023 kNN-TL: k-Nearest-Neighbor Transfer Learning for Low-Resource Neural Machine Translation ACL 2023 TemplateGEC: Improving Grammatical Error Correction with Detection Template ACL 2023 Revisiting Token Dropping Strategy in Efficient BERT Pretraining ACL 2023 TransGEC: Improving Grammatical Error Correction with Translationese ACL 2023 PromptST: Abstract Prompt Learning for End-to-End Speech Translation EMNLP 2023 Clustering Pseudo Language Family in Multilingual Translation Models with Fisher Information Matrix EMNLP 2023 Can LMs Generalize to Future Data? An Empirical Analysis on Text Summarization EMNLP 2023 Towards Making the Most of ChatGPT for Machine Translation EMNLP 2023 Revisiting Grammatical Error Correction Evaluation and Beyond EMNLP 2022 Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling EMNLP 2022 ODE Transformer: An Ordinary Differential Equation-Inspired Model for Sequence Generation ACL 2022 ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine Translation EMNLP 2022 Progressive Multi-Granularity Training for Non-Autoregressive Translation IJCNLP 2021 Meta-Curriculum Learning for Domain Adaptation in Neural Machine Translation AAAI 2021 On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation EMNLP 2021 Progressive Multi-Granularity Training for Non-Autoregressive Translation ACL 2021 Difficulty-Aware Machine Translation Evaluation ACL 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation ACL 2021 Understanding and Improving Lexical Choice in Non-Autoregressive Translation ICLR 2021 Understanding and Improving Encoder Layer Fusion in Sequence-to-Sequence Learning ICLR 2021 Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation IJCNLP 2021 Difficulty-Aware Machine Translation Evaluation IJCNLP 2021 On the Copying Behaviors of Pre-Training for Neural Machine Translation IJCNLP 2021 On the Copying Behaviors of Pre-Training for Neural Machine Translation ACL 2021 PolarMask: Single Shot Instance Segmentation With Polar Representation CVPR 2020 AE TextSpotter: Learning Visual and Linguistic Representation for Ambiguous Text Spotting ECCV 2020 Norm-Based Curriculum Learning for Neural Machine Translation ACL 2020 DocStruct: A Multimodal Method to Extract Hierarchy Structure in Document for General Form Understanding EMNLP 2020 Scene Text Image Super-resolution in the wild ECCV 2020 R3 Adversarial Network for Cross Model Face Recognition CVPR 2019 Shared-Private Bilingual Word Embeddings for Neural Machine Translation ACL 2019 FOTS: Fast Oriented Text Spotting With a Unified Network CVPR 2018